#  Copyright (c) 2025-2025 Huawei Technologies Co., Ltd.
#  #
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#  #
#  http://www.apache.org/licenses/LICENSE-2.0
#  #
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
from abc import ABC, abstractmethod
from dataclasses import dataclass
from pathlib import Path
from typing import Optional

from msmodelslim.core.const import DeviceType
from msmodelslim.model import IModel
from msmodelslim.utils.exception import SchemaValidateError


@dataclass
class BaseQuantConfig:
    apiversion: str  # API version
    spec: object  # spec of the quantization config

    @staticmethod
    def from_dict(d: object) -> "BaseQuantConfig":
        if not isinstance(d, dict):
            raise SchemaValidateError(f'quant config must be a dict',
                                      action='Please make sure the quant config is a dictionary')
        return BaseQuantConfig(
            apiversion=d.get('apiversion', 'Unknown'),
            spec=d['spec']
        )


class IQuantService(ABC):
    @abstractmethod
    def quantize(
            self,
            quant_config: BaseQuantConfig,
            model_adapter: IModel,
            save_path: Optional[Path] = None,
            device: DeviceType = DeviceType.NPU,
    ) -> None:
        ...
